1021 search results - page 80 / 205 » Model selection in genetic programming |
JMLR
2006
13 years 8 months ago
2006
An ensemble is a group of learning models that jointly solve a problem. However, the ensembles generated by existing techniques are sometimes unnecessarily large, which can lead t...
IJKESDP
2010
13 years 7 months ago
2010
— In this paper, several portfolio selection problems with normal mixture distributions including fuzziness are proposed. Until now, many researchers have proposed portfolio mode...
CCE
2010
13 years 6 months ago
2010
In this work we address the problem of solving multiscenario optimization models that are deterministic equivalents of two-stage stochastic programs. We present a heuristic approx...
ICDM
2003
IEEE
14 years 2 months ago
2003
IEEE
In the literature of data mining, many different algorithms for association rule mining have been proposed. However, there is relatively little study on how association rules can ...
BSN
2009
IEEE
14 years 3 months ago
2009
IEEE
—Human movement models often divide movements into parts. In walking the stride can be segmented into four different parts, and in golf and other sports, the swing is divided int...